A Training Concept Based on a Digital Twin for a Wafer Transportation System

Implementation of 3D Simulation to Foster Digital Twin Based Applications in Manufacturing: An Educational Case Study

“…The development of appropriate digital competences in the field can be for sure helpful for researchers but also practitioners [11]; from the point of view of researchers, such skills can impact on the quality of scientific dissemination and are also beneficial for maintaining an up-to-date knowledge about the topic [5]. Moreover, training practitioners to gain experience in highly digitalized workspace can be addressed as an added value by companies, which desire to remain competitive with the digitalization of their environments [12]. Consequently, it is clear that education, specifically in the engineering field, should update from traditional methods, so that students, which could be future researchers or practitioners, can benefit from concepts but also practical use cases on the topic of DT [5].…”

Towards Adaptive Quality Assurance in Industrial Applications

“…First virtual training programs have already been implemented in the precision manufacturing industry [33], helping to improve the efficiency of the maintenance workers and providing training for new employees. Using more cyberphysical training programs, as well as digital twins and virtual and augmented reality, valuable time and cost-savings could be made: repetitive tasks in the production line could be reduced if these tasks -which are comparatively easy for an operator to solve, but difficult to automate -could be instructed remotely by a qualified employee using smart glasses.…”

Improving wafer map classification in Industry 4.0

“…One of the most important concepts within semiconductor manufacturing is the automation of Internet of Things (IoT) related processes, which is heavily influenced by robotics [1] and machine learning (ML) algorithms to enable adopted systems to be smarter and perform more efficient. Due to the nature of related tasks, a high level of efficiency and accuracy must be achieved when implementing automation tools, ultimately preventing errors and mistakes which otherwise can cause serious economic damage [2].…”

“…It is evident, that IoT plays a big role in semiconductor manufacturing nowadays. Schneider et al [2] deployed a system in the 200mm Infineon Dresden Wafer Fabrication Plant which is ramping up wafer production and transportation enabling higher throughput, significantly lowering engineering costs, and reducing the workload on operators.…”